From Idea to AI Agent – Live Building Workshop
About the Event
Most discussions around AI agents stop at theory or simple demos. But building useful AI systems requires understanding how to translate a business problem into an agent that can reason, retrieve information, and execute tasks effectively.
AI Builders Weekend is Masters' Union's hands-on workshop series for aspiring AI engineers, developers, and builders looking to move beyond theory and learn by building real AI applications. As part of the next edition, we are hosting From Idea to AI Agent – Live Building Workshop.
This hands-on session will explore how modern AI agents are built to solve real-world business problems, with participants building an AI agent designed for an e-commerce use case tackling challenges such as inventory management, SKU planning, and intelligent product discovery.
Led by Divij Bajaj, Data & Applied Scientist II at Microsoft, this session will showcase how AI agents can be designed to solve domain-specific problems by combining reasoning, retrieval, and structured workflows.
In this workshop we’ll cover:
How to translate a business problem into an AI agent workflow
Building an AI agent for an e-commerce use case, focused on inventory management, SKU planning, and product discovery
How AI agents can automate and enhance decision-making across e-commerce operations
What separates prototype AI demos from production-grade AI systems
Who is this workshop for?
This session is designed for software engineers, developers, students, and aspiring AI professionals who want to gain hands-on experience building real AI applications and strengthen their portfolio with practical proof of work.
About the Speaker
Divij Bajaj is a Data & Applied Scientist II at Microsoft, where he works on building Generative AI solutions for real-world applications. With prior experience at VMware and nearly seven years of experience across machine learning and production AI systems, he has worked extensively on building, scaling, and deploying AI solutions that solve business problems at scale.